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无线传感器网络是传感技术、计算技术和通信技术的融合.由于传感器节点的能量限制,能量有效性是设计无线传感器网络所关注的一个主要内容,并且已成为一个最大的挑战.提出了一种网络拓扑算法——一种动态、能量有效的层次分簇算法(DEEH).与其他算法不同,该算法无须知道传感器节点的任何本地信息.该算法可应用于更实际的大规模无线传感器网络,如节点具有不同的能量等级、不同的传输半径.将DEEH算法与经典的分簇算法LEACH相比较,仿真结果表明:当网络节点密度很大时,DEEH优于LEACH.同时,还考虑了网络中存在自私节点的情况,并分析了自私节点对网络分簇所带来的影响.在DEEH算法中引入机制设计理论,以克服网络中自私节点的影响.实验结果表明:采用机制设计理论,自私节点的占优策略真实地报告它们的能量.这一策略延长了网络的寿命,保证了拓扑结构的稳定性.
Wireless sensor networks are a combination of sensing, computing and communication technologies.As energy constraints of sensor nodes, energy efficiency is one of the main concerns in designing WSNs and has become one of the biggest challenges. Network topology algorithm - a kind of dynamic and energy-efficient hierarchical clustering algorithm (DEEH). Unlike other algorithms, this algorithm does not need to know any local information of sensor nodes.The algorithm can be applied to more practical large-scale wireless sensor networks, For example, the nodes have different energy levels and different transmission radii.Compared with classical clustering algorithm LEACH, the simulation results show that DEEH outperforms LEACH when the network node density is very high, The existence of selfish nodes and the influence of selfish nodes on network clustering are analyzed.The mechanism design theory is introduced in DEEH algorithm to overcome the influence of selfish nodes in network.Experimental results show that using mechanism design theory, selfish nodes Of the dominant strategy to truly report their energy.This strategy to extend the life of the network to ensure the topology Stability.